data frame from a list of vectors

Question

I have 4 vectors (d1,d2,d3,d4) of different lengths from which I create a data frame like this

df <- data.frame(
  x = c(
    seq_along(d1),
    seq_along(d2),
    seq_along(d3),
    seq_along(d4)
  ),
  y = c(
    d1,
    d2,
    d3,
    d4
  ),
  id = c(
    rep("d1", times = length(d1)), 
    rep("d2", times = length(d2)),
    rep("d3", times = length(d3)),
    rep("d4", times = length(d4))
  ))

Adding a new vector means adding it in 3 different places, this is what I'd like to avoid. Ideally I would like to pass d1,d2,d3,d4 into a function that then returns the data frame.

The first steps seems to be to wrap the vectors into a list and name them.

l <- list(d1,d2,d3,d4)
names(l) <- c("d1","d2","d3","d4")

But I am struggling with the 2nd part that probably should be something along the lines of this (pseudo code)

df <- data.frame(
  x = flatten(map(l, function(a) seq_along(a))),
  y = flatten(l),
  id = flatten(map(l, function(a) rep(a.name,times=length(a))))
)

What's the correct way to construct the data frame from the list? Or is there a better way of doing this?

UPDATE: For demonstrative purposes d1..d4 could be imagined to be

d1 <- pnorm(seq(-2, 2, 0.05))-3
d2 <- pnorm(seq(-3, 3, 0.10))
d3 <- pnorm(seq(-1, 2, 0.05))-4
d4 <- pnorm(seq(-4, 3, 0.15))

Answer 1

You can define a function that takes any number of vectors:

build_df <- function(...)
{
  vec_list <- list(...)
  df <- data.frame(x = do.call("c", sapply(vec_list, seq_along)),
                   y = do.call("c", vec_list),
                   name = do.call("c", sapply(seq_along(vec_list), 
                                              function(i) rep(names(vec_list)[i], 
                                                          length(vec_list[[i]]))))
             )
  rownames(df) <- seq(nrow(df))
  df
}

build_df(d1 = 1:3, d2 = 6:9, bananas = 4:6)
#>    x y    name
#> 1  1 1      d1
#> 2  2 2      d1
#> 3  3 3      d1
#> 4  1 6      d2
#> 5  2 7      d2
#> 6  3 8      d2
#> 7  4 9      d2
#> 8  1 4 bananas
#> 9  2 5 bananas
#> 10 3 6 bananas

^{Created on 2020-08-03 by the reprex package (v0.3.0)}